Mish activation function: Revision history

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23 December 2023

  • curprev 19:0019:00, 23 December 2023‎ Ai talk contribs‎ 2,883 bytes +2,883‎ Created page with "== Introduction == The Mish activation function is a mathematical function used in the field of artificial neural networks. It was proposed by Diganta Misra in 2019 as a novel, self-regularized, non-monotonic neural activation function. It has been shown to outperform several other activation functions in terms of accuracy and loss metrics in various deep learning tasks. Image:Detail-58858.jpg|thumb|center|A graph showing the curve..."
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